A Case Study: Privacy Preserving Release of Spa9o-­‐temporal Density in Paris thumbnail
slide-image
Pause
Mute
Subtitles not available
Playback speed
0.25
0.5
0.75
1
1.25
1.5
1.75
2
Full screen

A Case Study: Privacy Preserving Release of Spa9o-­‐temporal Density in Paris

Published on Oct 07, 20142055 Views

With billions of handsets in use worldwide, the quantity of mobility data is gigantic. When aggregated they can help understand complex processes, such as the spread viruses, and built better transpor

Related categories

Chapter list

A Case Study: Privacy Preserving Release of Spa9o-­‐temporal Density in Paris00:00
Motivation: XData project00:05
Problem: European Data Protection law (Directive 95/46/EC)01:02
Privacy Model02:25
Focus: Anonymization of CDR04:10
(Simplified) Call Data Record04:21
Paris CDR (provided by Orange™)05:06
Data to be anonymized05:47
Overview of our approach - 106:55
From CDR to Spatio-­‐temporal Density07:45
Overview of our approach - 208:57
Perturbation of time series09:07
Performance evaluation 1: Mean Relative Error11:57
Performance evaluation 2: Pearson Correlation12:43
Conclusions13:01